Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Heo, Yong Jin | - |
dc.contributor.author | Hwa, Chanwoong | - |
dc.contributor.author | Lee, Gang-Hee | - |
dc.contributor.author | Park, Jae-Min | - |
dc.contributor.author | An, Joon-Yong | - |
dc.date.accessioned | 2022-02-28T11:42:15Z | - |
dc.date.available | 2022-02-28T11:42:15Z | - |
dc.date.created | 2022-01-20 | - |
dc.date.issued | 2021-07 | - |
dc.identifier.issn | 1016-8478 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/137249 | - |
dc.description.abstract | Multi-omics approaches are novel frameworks that integrate multiple omics datasets generated from the same patients to better understand the molecular and clinical features of cancers. A wide range of emerging omics and multi view clustering algorithms now provide unprecedented opportunities to further classify cancers into subtypes, improve the survival prediction and therapeutic outcome of these subtypes, and understand key pathophysiological processes through different molecular layers. In this review, we overview the concept and rationale of multi-omics approaches in cancer research. We also introduce recent advances in the development of multi-omics algorithms and integration methods for multiple-layered datasets from cancer patients. Finally, we summarize the latest findings from large-scale multi-omics studies of various cancers and their implications for patient subtyping and drug development. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | KOREAN SOC MOLECULAR & CELLULAR BIOLOGY | - |
dc.subject | COMPREHENSIVE MOLECULAR CHARACTERIZATION | - |
dc.subject | PROTEOGENOMIC CHARACTERIZATION | - |
dc.subject | LUNG-CANCER | - |
dc.subject | BREAST | - |
dc.subject | IDENTIFICATION | - |
dc.subject | PROTEOMICS | - |
dc.subject | TRANSCRIPTOMICS | - |
dc.subject | MECHANISMS | - |
dc.subject | MUTATIONS | - |
dc.subject | REVEALS | - |
dc.title | Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | An, Joon-Yong | - |
dc.identifier.doi | 10.14348/molcells.2021.0042 | - |
dc.identifier.scopusid | 2-s2.0-85112394822 | - |
dc.identifier.wosid | 000687756100002 | - |
dc.identifier.bibliographicCitation | MOLECULES AND CELLS, v.44, no.7, pp.433 - 443 | - |
dc.relation.isPartOf | MOLECULES AND CELLS | - |
dc.citation.title | MOLECULES AND CELLS | - |
dc.citation.volume | 44 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 433 | - |
dc.citation.endPage | 443 | - |
dc.type.rims | ART | - |
dc.type.docType | Review | - |
dc.identifier.kciid | ART002741481 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalResearchArea | Cell Biology | - |
dc.relation.journalWebOfScienceCategory | Biochemistry & Molecular Biology | - |
dc.relation.journalWebOfScienceCategory | Cell Biology | - |
dc.subject.keywordPlus | COMPREHENSIVE MOLECULAR CHARACTERIZATION | - |
dc.subject.keywordPlus | PROTEOGENOMIC CHARACTERIZATION | - |
dc.subject.keywordPlus | LUNG-CANCER | - |
dc.subject.keywordPlus | BREAST | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | PROTEOMICS | - |
dc.subject.keywordPlus | TRANSCRIPTOMICS | - |
dc.subject.keywordPlus | MECHANISMS | - |
dc.subject.keywordPlus | MUTATIONS | - |
dc.subject.keywordPlus | REVEALS | - |
dc.subject.keywordAuthor | cancer research | - |
dc.subject.keywordAuthor | genomics | - |
dc.subject.keywordAuthor | multi-omics approach | - |
dc.subject.keywordAuthor | proteogenomics | - |
dc.subject.keywordAuthor | proteomics | - |
dc.subject.keywordAuthor | systems biology | - |
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